GRADUATE, MT KENYA UNIVERSITY
For the realization of global positive impact a more safe and secure work, there is a need for deeper understanding of how nutrition affects productivity at the work place. Due to many demands at the workplace, maintaining a healthy diet at work might fall as a low priority. Getting time for eating and ample access to vending machines, snacks, doughnuts, and other junk foods, the workplace can derail the best-intentioned diet. Good nutrition habits have a positive impact on occupational safety and health and subsequently workplace productivity. It is well documented that unhealthy foods lead to obesity and chronic diseases, while lack of it can cause malnutrition among other disorders and ailments. In both these instances, the effects are detrimental to a strong, well-equipped workforce. What workers eat influence their health and their productivity, so it is in the interest of all the social partners unions, workers, employers and governments around the world to contribute in their different ways to good nutrition and a healthy diet at work.
Abstract: Second-generation antipsychotics increase the risk of diabetes and other metabolic conditions among individuals with schizophrenia. Although metabolic testing is recommended to reduce this risk, low testing rates have prompted concerns about negative health consequences and downstream medical costs. This study simulated the effect of increasing metabolic testing rates on ten-year prevalence rates of prediabetes and diabetes (diabetes conditions) and their associated health care costs.A microsimulation model (N=21,491 beneficiaries) with a ten-year time horizon was used to quantify the impacts of policies that increased annual testing rates in a Medicaid population with schizophrenia. Data sources included California Medicaid data, National Health and Nutrition Examination Survey data, and the literature. In the model, metabolic testing increased diagnosis of diabetes conditions and diagnosis prompted prescribers to switch patients to lower-risk antipsychotics. Key inputs included observed diagnoses, prescribing rates, annual testing rates, imputed rates of undiagnosed diabetes conditions, and literature-based estimates of policy effectiveness.Compared with 2009 annual testing rates, ten-year outcomes for policies that achieved universal testing reduced exposure to higher-risk antipsychotics by 14%, time to diabetes diagnosis by 57%, and diabetes prevalence by .6%. These policies were associated with higher spending because of testing and earlier treatment.The model showed that policies promoting metabolic testing provided an effective approach to improve the safety of second-generation antipsychotic prescribing in a Medicaid population with schizophrenia; however, the policies led to additional costs at ten years. Simulation studies are a useful source of information on the potential impacts of these policies.
Pub.: 02 Sep '17, Pinned: 30 Apr '18